Random Forest Regression Optimization for Property Valuation
Implementing an optimized Random Forest Regression model to predict real estate prices, featuring dynamic preprocessing and K-Fold cross-validation.
Jakub Rogalski
Property Valuation via Linear Regression
An Automated Valuation Model (AVM) pipeline predicting real estate prices to optimize investment analysis and reduce manual appraisal bottlenecks.
Automated Identification of Premium Real Estate via Random Forest
Built a Random Forest classification engine to automate the identification of premium properties, optimizing target market analysis.
Automated Premium Property Classification using Logistic Regression
A business-focused classification project demonstrating how machine learning can automate real estate portfolio segmentation by identifying premium assets.